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Continual Relation Extraction

Compared with traditional relation extraction, CRE aims to help the model learn new relations while maintaining accurate classification of old ones.

Papers

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Showing 11–16 of 16 papers

TitleStatusHype
A Continual Relation Extraction Approach for Knowledge Graph Completeness—0
DP-CRE: Continual Relation Extraction via Decoupled Contrastive Learning and Memory Structure Preservation—0
Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild—0
Improving Continual Relation Extraction through Prototypical Contrastive Learning—0
Less is More: Rethinking State-of-the-art Continual Relation Extraction Models with a Frustratingly Easy but Effective Approach—0
Refining Sample Embeddings with Relation Prototypes to Enhance Continual Relation ExtractionCode0
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